Add requirements.txt and improve app.py

app.py

@@ -1,7 +1,36 @@
 import gradio as gr
+from rembg import remove, new_session
+import cv2
+import numpy as np
+import PIL
+import torch
+from diffusers import StableDiffusionInpaintPipeline
+
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface = gr.Interface(fn=greet,
+                     inputs=[gr.inputs.Image(label='Upload the product'), gr.inputs.Textbox(label='Enter the prompt')],
+                     outputs=gr.outputs.Image(label='Result'),
+                     title='Product placement with background change'
+                     )
+iface.launch()
+
+"""
+input_path = 'c.png'
+input = cv2.cvtColor(cv2.imread(input_path), cv2.COLOR_BGR2RGB)
+mask = remove(input, session=new_session('u2net'), only_mask=True)
+mask = cv2.bitwise_not(mask)
+#plt.imshow(mask)
+
+pipeline = StableDiffusionInpaintPipeline.from_pretrained(
+    "stabilityai/stable-diffusion-2-inpainting",  #runwayml/stable-diffusion-inpainting
+    torch_dtype=torch.float16,
+)
+pipeline = pipeline.to("cuda")
+init_image = PIL.Image.open(input_path).convert("RGB").resize((512, 512))
+mask_image = PIL.Image.fromarray(np.uint8(mask)).convert('RGB').resize((512, 512))
+prompt = "colorful particles, high resolution, a yellow cat, 8K"
+image = pipeline(prompt=prompt, image=init_image, mask_image=mask_image).images[0]
+"""

requirements.txt

@@ -0,0 +1,8 @@
+rembg
+diffusers
+transformers
+accelerate
+opencv-python
+numpy
+Pillow
+torch